de.aitools.dm.clusterlabeling.algorithms
Class KeyphraseLabeler

java.lang.Object
  de.aitools.dm.clustering.algorithms.ASoftClusterer
      de.aitools.dm.clustering.algorithms.AClusterer
          de.aitools.dm.clusterlabeling.algorithms.AClusterLabeler
              de.aitools.dm.clusterlabeling.algorithms.TopicIdentifier
                  de.aitools.dm.clusterlabeling.algorithms.KeyphraseLabeler

All Implemented Interfaces:

Clusterer, SoftClusterer, ClusterLabeler

public class KeyphraseLabeler
extends TopicIdentifier

Version:

$Id: KeyphraseLabeler.java,v 1.5 2011/07/18 15:51:21 hoppe Exp $

Author:

dennis.hoppe(/\t)uni-weimar.de

Nested Class Summary

Nested classes/interfaces inherited from class de.aitools.dm.clusterlabeling.algorithms.TopicIdentifier

TopicIdentifier.ClusterLabelCandidate

Field Summary

Fields inherited from interface de.aitools.dm.clustering.Clusterer

DEFAULT_SEED

Constructor Summary

KeyphraseLabeler(Clusterer clusterer, VectorSpace vocabulary, java.util.List<java.lang.String> data, int numTerms)

Method Summary

java.lang.String[]	getClusterLabels()
void	setKeyphraseExtractor(KeyphraseExtractor newKeyphraseExtractor)

Methods inherited from class de.aitools.dm.clusterlabeling.algorithms.TopicIdentifier

cluster

Methods inherited from class de.aitools.dm.clustering.algorithms.AClusterer

cluster, cluster, cluster, clusterSoft

Methods inherited from class de.aitools.dm.clustering.algorithms.ASoftClusterer

clusterSoft, clusterSoft, clusterSoft, getBiggestRange

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KeyphraseLabeler

public KeyphraseLabeler(Clusterer clusterer,
                        VectorSpace vocabulary,
                        java.util.List<java.lang.String> data,
                        int numTerms)

Parameters:

clusterer -

vocabulary -

data -

numTerms -

Method Detail

setKeyphraseExtractor

public final void setKeyphraseExtractor(KeyphraseExtractor newKeyphraseExtractor)

Parameters:

newKeyphraseExtractor - a user-specified keyphrase extractor

numberOfPhrasesPerText - maximum # of keyphrases that will be extracted per document

getClusterLabels

public final java.lang.String[] getClusterLabels()

Returns:

an array of cluster labels